Design of liposomal nanocarriers with a potential for combined dexamethasone and bevacizumab delivery to the eye

脂质体 纳米载体 药物输送 Zeta电位 生物相容性 药理学 贝伐单抗 生物医学工程 眼药水 剂型 粒径 化学 纳米技术 医学 材料科学 外科 纳米颗粒 化疗 有机化学 物理化学
作者
Umer Farooq,Niall J. O’Reilly,Zubair Ahmed,Paolo Gasco,Thakur Raghu Raj Singh,Gautam Behl,Laurence Fitzhenry,Peter McLoughlin
出处
期刊:International Journal of Pharmaceutics [Elsevier BV]
卷期号:654: 123958-123958 被引量:3
标识
DOI:10.1016/j.ijpharm.2024.123958
摘要

Clinicians face numerous challenges when delivering medications to the eyes topically because of physiological barriers, that can inhibit the complete dose from getting to the intended location. Due to their small size, the ability to deliver drugs of different polarities simultaneously, and their biocompatibility, liposomes hold great promise for ocular drug delivery. This study aimed to develop and characterise a dual loaded liposome formulation encapsulating Bevacizumab (BEV) and Dexamethasone (DEX) that possessed the physicochemical attributes suitable for topical ocular delivery. Liposomes were prepared by using thin film hydration followed by extrusion, and the formulations were optimised using a design of experiments approach. Physicochemical characterisation along with cytocompatibility and bioactivity of the formulations were assessed. Liposomes were successfully prepared with a particle size of 139 ± 2 nm, PDI 0.03 ± 0.01 and zeta potential −2 ± 0.7 mV for the optimised formulation. BEV and DEX were successfully encapsulated into the liposomes with an encapsulation efficiency of 97 ± 0.5 % and 26 ± 0.5 %, respectively. A sustained release of BEV was observed from the liposomes and the bioactivity of the formulation was confirmed using a wound healing assay. In summary, a potential topical eye drop drug delivery system, which can co-load DEX and BEV was developed and characterised for its potential to be used in ocular drug delivery.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
健忘蘑菇完成签到,获得积分10
刚刚
刚刚
bkagyin应助萤火之森采纳,获得10
1秒前
hutu发布了新的文献求助10
1秒前
研友_VZG7GZ应助庄小鱼采纳,获得10
2秒前
十戈橙完成签到,获得积分10
2秒前
awre发布了新的文献求助10
2秒前
啤酒人完成签到 ,获得积分10
2秒前
CodeCraft应助elidan采纳,获得10
2秒前
着急的彭发布了新的文献求助10
2秒前
星渊完成签到,获得积分10
3秒前
3秒前
魔幻的荔枝完成签到,获得积分10
3秒前
马香芦完成签到,获得积分10
3秒前
火星上小馒头完成签到,获得积分20
4秒前
小王发布了新的文献求助10
4秒前
李健应助夸夸555采纳,获得10
4秒前
4秒前
4秒前
萧水白完成签到,获得积分10
5秒前
崔哈哈完成签到,获得积分20
5秒前
bkagyin应助WN采纳,获得10
6秒前
kitty完成签到,获得积分10
6秒前
甜蜜鹭洋完成签到 ,获得积分10
7秒前
SciGPT应助Silvia采纳,获得10
7秒前
深情安青应助hutu采纳,获得10
7秒前
ddddd完成签到,获得积分10
7秒前
kagami发布了新的文献求助10
8秒前
8秒前
小马甲应助科研通管家采纳,获得10
8秒前
8秒前
8秒前
8秒前
9秒前
星点点发布了新的文献求助10
9秒前
9秒前
9秒前
Sam发布了新的文献求助10
9秒前
蔡蔡不菜菜完成签到,获得积分10
10秒前
傅晓发布了新的文献求助10
10秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 2390
A new approach to the extrapolation of accelerated life test data 1000
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4009325
求助须知:如何正确求助?哪些是违规求助? 3549162
关于积分的说明 11301105
捐赠科研通 3283572
什么是DOI,文献DOI怎么找? 1810370
邀请新用户注册赠送积分活动 886205
科研通“疑难数据库(出版商)”最低求助积分说明 811301